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Wednesday, June 27 • 10:30am - 11:30am
#333: Streamlining Vendor Reconciliation

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Component Type: Session
Level: Intermediate
CE: ACPE 1.00 Knowledge UAN: 0286-0000-18-642-L04-P; CME 1.00; IACET 1.00; RN 1.00

As more and more sponsors elect to collect vendor data and hire companies to perform vendor tasks on trials, CROs and the like must train and adapt their needs to ensure the data is as clean as possible. This includes introduction of novel collection pathways that must be reconciled. These novel pathways include wearable devices, Artificial Intelligence (AI) and mobile technology. As the use of technological developments have changed the collection of data, we as reviewers must adapt our methods to be more efficient and decide the most cost-effective ways for reconciliation. This session will explore the types of data and an efficient way, the Puzzle Method, for reconciling vendor data, as well as novel pathways for data collection.

Learning Objectives

Define the most common data points to be reconciled between clinical databases and external vendor records; Describe how to apply the Puzzle Method to any vendor reconciliation task on a clinical trial where external vendor reconciliation is required; Identify novel external data sources and discuss the necessity of reconciliation and the key variables to reconcile novel data against the clinical database.


Kelley Chrisman, MBA, MPH


Streamlining the Process of Vendor Reconciliation: The Puzzle Method
Kelley Chrisman, MBA, MPH

Reconciling Novel External Data Sources (Wearable Devices and Mobile Technology) with Clinical Databases
Angela Lee, MPH

avatar for Kelley Chrisman

Kelley Chrisman

Lead Data Manager, PRA Health Sciences
I'm Kelley Chrisman, a Lead Data Manager with PRA Health Sciences. I've worked in the research field since 2004 and have held multiple roles including Clinical Research Associate and Study Coordinator. Most of my research work has been in oncology, both solid and hematologic tumors... Read More →
avatar for Angela Lee

Angela Lee

Associate Director, Data Management, Otsuka Pharmaceutical Development
Ms. Lee has worked in clinical data management for 18 years. She is currently the Associate Director, Data Management at OTSUKA Pharmaceuticals. She earned her BS in Biology from Yale and continued her studies at Yale School of Epidemiology and Public Health, earning an MPH. She spent... Read More →

Wednesday June 27, 2018 10:30am - 11:30am EDT
Room 209 Boston Convention and Exhibition Center 415 Summer Street, Boston, MA 02210 USA
  03: Data-Data Standards, Session